BRWSP: Predicting circRNA-Disease Associations Based on Biased Random Walk to Search Paths on a Multiple Heterogeneous Network

The circular RNAs (circRNAs) have significant effects on a variety of biological processes, the dysfunction of which is closely related to the emergence and development of diseases. Therefore, identification of circRNA-disease associations will contribute to analysing the pathogenesis of diseases. H...

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Main Authors: Xiujuan Lei, Wenxiang Zhang
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/5938035
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author Xiujuan Lei
Wenxiang Zhang
author_facet Xiujuan Lei
Wenxiang Zhang
author_sort Xiujuan Lei
collection DOAJ
description The circular RNAs (circRNAs) have significant effects on a variety of biological processes, the dysfunction of which is closely related to the emergence and development of diseases. Therefore, identification of circRNA-disease associations will contribute to analysing the pathogenesis of diseases. Here, we present a computational model called BRWSP to predict circRNA-disease associations, which searches paths on a multiple heterogeneous network based on biased random walk. Firstly, BRWSP constructs a multiple heterogeneous network by using circRNAs, diseases, and genes. Then, the biased random walk algorithm runs on the multiple heterogeneous network to search paths between circRNAs and diseases. Finally, the performance of BRWSP is significantly better than the state-of-the-art algorithms. Furthermore, BRWSP further contributes to the discovery of novel circRNA-disease associations.
format Article
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institution Kabale University
issn 1076-2787
1099-0526
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-34e23073caaa4a7d9f622e9b59c4dc592025-08-20T03:55:06ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/59380355938035BRWSP: Predicting circRNA-Disease Associations Based on Biased Random Walk to Search Paths on a Multiple Heterogeneous NetworkXiujuan Lei0Wenxiang Zhang1School of Computer Science, Shaanxi Normal University, Xi’an, Shaanxi 710119, ChinaSchool of Computer Science, Shaanxi Normal University, Xi’an, Shaanxi 710119, ChinaThe circular RNAs (circRNAs) have significant effects on a variety of biological processes, the dysfunction of which is closely related to the emergence and development of diseases. Therefore, identification of circRNA-disease associations will contribute to analysing the pathogenesis of diseases. Here, we present a computational model called BRWSP to predict circRNA-disease associations, which searches paths on a multiple heterogeneous network based on biased random walk. Firstly, BRWSP constructs a multiple heterogeneous network by using circRNAs, diseases, and genes. Then, the biased random walk algorithm runs on the multiple heterogeneous network to search paths between circRNAs and diseases. Finally, the performance of BRWSP is significantly better than the state-of-the-art algorithms. Furthermore, BRWSP further contributes to the discovery of novel circRNA-disease associations.http://dx.doi.org/10.1155/2019/5938035
spellingShingle Xiujuan Lei
Wenxiang Zhang
BRWSP: Predicting circRNA-Disease Associations Based on Biased Random Walk to Search Paths on a Multiple Heterogeneous Network
Complexity
title BRWSP: Predicting circRNA-Disease Associations Based on Biased Random Walk to Search Paths on a Multiple Heterogeneous Network
title_full BRWSP: Predicting circRNA-Disease Associations Based on Biased Random Walk to Search Paths on a Multiple Heterogeneous Network
title_fullStr BRWSP: Predicting circRNA-Disease Associations Based on Biased Random Walk to Search Paths on a Multiple Heterogeneous Network
title_full_unstemmed BRWSP: Predicting circRNA-Disease Associations Based on Biased Random Walk to Search Paths on a Multiple Heterogeneous Network
title_short BRWSP: Predicting circRNA-Disease Associations Based on Biased Random Walk to Search Paths on a Multiple Heterogeneous Network
title_sort brwsp predicting circrna disease associations based on biased random walk to search paths on a multiple heterogeneous network
url http://dx.doi.org/10.1155/2019/5938035
work_keys_str_mv AT xiujuanlei brwsppredictingcircrnadiseaseassociationsbasedonbiasedrandomwalktosearchpathsonamultipleheterogeneousnetwork
AT wenxiangzhang brwsppredictingcircrnadiseaseassociationsbasedonbiasedrandomwalktosearchpathsonamultipleheterogeneousnetwork